Consider how to prioritize and categorize information.
The main thing to remember is that the only way we can know anything about ourselves or our world, is through information. All other approaches are ultimately flawed by definition.
The only way we know anything about the world, is by using our senses to gather information from it. Then our brains process all this incoming data and create internal models of reality.
We are definitely not conscious of all the incoming data, some of which is discarded as irrelevant and some of which we consciously choose to ignore. We often do this in order to make our brains more efficient.
For instance, we don't consciously take in the data on a bright sunny day, that there is not even one shadow anywhere. We typically just see everything as bathed in light and shade.
So this means our brains are constantly filling in missing data, and it is not possible to know what we are really seeing. It works very well for most of the time but sometimes reality can be deceiving.
Another example is when you have a heated argument with a loved one, and they say something that makes no logical sense to you.
Log in:
You are getting an AI to generate text on different topics.
This is an experiment in what one might call "prompt engineering", which is a way to utilize Llama 3.1 405b, a neural network trained by Meta.
Llama is a language model. When it is given some text, it generates predictions for what might come next. It is remarkably good at adapting to different contexts, as defined by a prompt (in this case, hidden), which sets the scene for what type of text will be generated.
Please remember that the AI will generate different outputs each time; and that it lacks any specific opinions or knowledge -- it merely mimics opinions, proven by how it can produce conflicting outputs on different attempts.
Feel free to share interesting outputs to /r/philosopherAI on Reddit.